Analysis of Job Competency Requirements for Major in Big Data Management and Application and Optimization Strategies for Talent Training: Based on Job Information
In the context of deepening digital transformation and integration of industry and education, there is a mismatch between the supply and demand of talents in the major of big data management and application. This study selects online recruitment texts from Zhipin website, statistically analyzes the basic job requirements such as educational level, work experience, job type, and regional distribution, and identifies the capability themes using the Latent Dirichlet Allocation (LDA) model. Based on the skill extraction and capability co-occurrence, the job capability requirements are characterized. The study finds that the basic job requirements have four features: the educational level requirement is mainly for bachelor’s degree; nearly half of the positions are targeted at those with work experience; the regional distribution of the positions is concentrated in core cities and regional central cities; the job types can be categorized into data, engineering research and development, and business management. The job capability requirements mainly revolve around four capability dimensions of intelligent project management and collaboration, data-driven business optimization analysis, customer relationship and sales operation management, and data system development and database technology application, and there are significant differences in the capability requirements for different types of jobs. Based on the demand-side perspective of the job capability requirements for the major of big data management and application, this study proposes targeted optimization strategies for talent training, providing practical basis for professional talent training and promoting the development of the country’s big data industry.
关键词
大数据管理与应用/招聘信息/文本挖掘/能力组合/需求分析/人才培养
Key words
big data management and application/ job information/ text mining/ capability combination/ demand analysis/ talent training
